Method For Optimizing The Power Consumption Of A Hybrid And Plug-In Vehicle, And Hybrid And Plug-In Vehicle Implementing Said Method

• US 20120010769A1
• Filed: 04/16/2010
• Published: 01/12/2012
• Est. Priority Date: 04/28/2009
• Status: Abandoned Application

• Current Assignee: Peugeot Citroen Automobile SA (Stellantis NV)
• Original Assignee: Peugeot Citroen Automobile SA (Stellantis NV)
• Inventors: Robart, Nicolas, Sourioux, Thomas
• Application Number:
  US13/256,177
• Publication Number:
  US 20120010769A1
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60K 6/48 Parallel type
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 10/26 for electrical energy, e.g. batteries or capacitors
• CPC Class Codes: B60W 20/00 Control systems specially adapted for hybrid vehicles hybrid vehicle design, B60K6/00; electric vehicles B60L
• CPC Class Codes: B60W 20/15 Control strategies specially adapted for achieving a particular effect
• CPC Class Codes: B60W 2050/0031 Mathematical model of the vehicle
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2510/244 Charge state
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/00 Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: Y02T 10/40 Engine management systems
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 90/14 Plug-in electric vehicles

Abstract

The invention relates to a method for optimising the power consumption of a hybrid and plug-in vehicle (1) comprising two traction modes, an electric (3) traction mode and a combustion (4) traction mode. Said method includes: determining the distance travelled between two consecutive recharges of the vehicle (1) by the mains; determining the electric energy available at a time “t” in an electric energy storage device (2); and determining a parameter “mu” according to the distance travelled between two consecutive recharges of the vehicle (1) by the mains and the electric energy available in the storage device (2).

Claims

1. A method for optimizing the energy consumption of a plug-in hybrid vehicle comprising an electrical motor to provide an electrical traction mode and an internal combustion engine to provide a thermal traction mode, the method comprising

calculating a distance between two successive recharges of the vehicle on an electrical power grid,

evaluating the amount of electrical energy available at time “

t”

in an electrical energy storage device, and

calculating a parameter “

mu”

as a function of the distance traveled between two successive recharges of vehicle on the electrical power grid and the electrical energy available in the electrical storage device.

2. The method according to claim 1, wherein the vehicle includes a navigation system, the method including a step of determining if the navigation system is activated, and, if the navigation system is activated, the step of calculating the distance traveled between two successive recharges of vehicle on the grid comprises:

calculating the travel distance of the vehicle as a function of the point of departure and the point of arrival, and

determining the type of driving of the vehicle over the distance to be traveled.

3. The method according to claim 1, wherein the vehicle does not include an activated navigation system the step of calculating the distance traveled by the vehicle between two successive recharges of the vehicle on the grid comprising:

starting from statistical data, determining the type of driving as a function of the average vehicle speed, and

determining the percentage of average stop time over a normally driven typical distance.

4. The method according to claim 1 wherein, when parameter “

mu”

is lower than a predetermined threshold, the electric motor is used to provide traction to the vehicle.

5. The method according claim 1 wherein, when parameter “

mu”

is higher than a predetermined threshold, the combustion engine is used to provide traction to the vehicle.

6. The method according to claim 1 wherein an indicator is displayed on a screen, the indicator being representative of the optimized consumption of electrical energy of the vehicle.

7. The method according to claim 1 wherein if the charge status of the electrical storage device reaches zero before the end of the trip of the vehicle (1), then

the internal combustion engine is used to provide traction to the vehicle for the rest of the distance, and

an indicator is displayed on a screen indicating the distance traveled with electrical energy.

8. The method according to claim 1 wherein an indicator is displayed on a screen indicating the travel distance before recharging the electrical storage device.

9. A plug-in hybrid vehicle adapted to implement the method claim 1.